Ontology highlight
ABSTRACT:
PROVIDER: PRJNA668279 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| Other | ||||
| SRR13236751_1.fastq.gz | Fastqsanger.gz | |||
| SRR13236751_2.fastq.gz | Fastqsanger.gz | |||
| SRR13236752_1.fastq.gz | Fastqsanger.gz | |||
| SRR13236752_2.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 23 |
Similar Datasets
Project description:Children with acute measles were admitted to the University Teaching Hospital in Lusaka, Zambia. Peripheral blood was collected at hospital entry, discharge and 1-month follow-up. Control samples were also collected from uninfected children. All children were HIV negative. Keywords: Clinical timecourse
2007-06-07 | GSE5808 | GEO
Project description:Klebsiella pneumoniae subsp. Emergence of carbapenem-resistant Klebsiella pneumoniae in a Tertiary Teaching Hospital in Ghana
| PRJNA810187 | ENA
Project description:Early-life sepsis remains one of the leading causes of global morbidity and mortality in the neonatal population, especially preterm infants. Using a preterm piglet model of neonatal sepsis to test nutritional interventions as a therapeutic approach, we demonstrated that high parenteral glucose induced hyperglycemia with severe sepsis, whereas glucose restriction offered protection against infection but led to severe hypoglycemia. Building on this, our current study aims to maintain normoglycemia through galactose metabolism or gluconeogenesis and reduce sepsis risks by substituting glucose with galactose, or supplementing glucogenic amino acids (GAAs).
2024-06-30 | GSE263512 | GEO
Project description:<p>Participants were recruited through the Ghana Prostate Study-a population-based component, and a clinical component. The population-based component was a probability sample designed using the 2000 Ghana Population and Housing Census data in an attempt to recruit approximately 1,000 men aged 50-74 years in the Greater Accra region (~3 million people), which successfully recruited 1,037 healthy men between 2004 and 2006 with a response percentage of 98.8 %. Consented individuals underwent an in-person interview, and within 7 days had a digital rectal examination (DRE) and provided an overnight fasting blood sample for prostate-specific antigen (PSA) testing, biomarker assays, and genetic analysis. Subjects who had a positive screen by PSA (>2.5 ng/ml) or DRE underwent a transrectal ultrasound-guided biopsy. A total of 73 histologically confirmed prostate cancer cases were identified through the population-based screening component of the Ghana Prostate Study and were included in the case population in the published GWAS (Cook et al., Human genetics, 2013). From the remaining 964 screen-negative individuals, 836 had at least 20 μg DNA extracted and available for analysis, and 500 of these were matched to cases for analysis by age (in 5-year categories).</p> <p>In the Ghana Prostate Study, we recruited 676 prostate cancer cases at Korle Bu Teaching Hospital in Accra, Ghana, between 2008 and 2012. All consented cases were interviewed and provided an overnight fasting blood sample. At the time of selection for this analysis we had recruited 582 prostate cancer cases, from which we selected 427 for analysis. Combined with the 73 cases diagnosed through the population-based component of the study, this yielded 500 available prostate cancer cases for analysis.</p>
| phs000838 | dbGaP
Project description:DNA methylation is the current strategy in the field of biomarker discovery due to its prognostic efficiency. Its role in prognosis and early diagnosis has been recognized in various types of cancer. Sepsis still remains one of the major causes of neonatal mortality due to the lack of sensitive diagnostic and prognostic biomarkers. Delay in sepsis diagnosis leads to treatment difficulties and poor outcomes. In this study, we have done an epigenome wide search to identify potential markers for prognosis of neonatal sepsis which may improve the treatment strategies. Illumina 450K methylation microarray revealed that the genes involved in transendothelial leukocyte migration were differentially methylated in septic newborns compared to non-septic newborns, especially the Protocadherin Beta group. Genes like ITGB2-AS1, CCS were found to be differentially methylated significantly, which gives the hope of developing novel, potential epigenetic markers for neonatal sepsis. From this study, we conclude that DNA methylation might play crucial functions in the pathophysiology of neonatal sepsis which was obvious from the difference in methylation level among septic and non-septic babies. In future, the potentiality of these epigenetic biomarkers can be studied in large scale with appropriate techniques which will give further in depth knowledge in this context.
2014-06-20 | GSE58651 | GEO
Project description:A microarray analysis involving whole blood samples isolated from critically ill patients in the medical intensive care unit at Brigham and Women's Hospital. Four groups of intubated subjects undergoing mechanical ventilation were recruited for the study: those with sepsis alone (Sepsis), those with sepsis + ARDS (se/ARDS), those with SIRS (SIRS), and those whithout sepsis, SIRS, or ARDS (untreated). Blood was obtained from patients on the day of admission (day 0) and 7 days later. RNA was isolated from the whole blood samples and microarrays were prepared to determine differential gene expression between the four groups. Total RNA obtained from whole blood samples of critically ill patients
2012-07-10 | E-GEOD-32707 | biostudies-arrayexpress
Project description:DNA methylation is the current strategy in the field of biomarker discovery due to its prognostic efficiency. Its role in prognosis and early diagnosis has been recognized in various types of cancer. Sepsis still remains one of the major causes of neonatal mortality due to the lack of sensitive diagnostic and prognostic biomarkers. Delay in sepsis diagnosis leads to treatment difficulties and poor outcomes. In this study, we have done an epigenome wide search to identify potential markers for prognosis of neonatal sepsis which may improve the treatment strategies. Illumina 450K methylation microarray revealed that the genes involved in transendothelial leukocyte migration were differentially methylated in septic newborns compared to non-septic newborns, especially the Protocadherin Beta group. Genes like ITGB2-AS1, CCS were found to be differentially methylated significantly, which gives the hope of developing novel, potential epigenetic markers for neonatal sepsis. From this study, we conclude that DNA methylation might play crucial functions in the pathophysiology of neonatal sepsis which was obvious from the difference in methylation level among septic and non-septic babies. In future, the potentiality of these epigenetic biomarkers can be studied in large scale with appropriate techniques which will give further in depth knowledge in this context. DNA methylation analysis of three septic newborns and three non-septic newborns were performed with Illumina Infinium HumanMethylation450 BeadChip. Peripheral venous blood sample was collected from the babies during the third day of birth while taking blood for routine investigations. Non-septic babies are babies admitted to NICU and sampled for other minor ailments. Genomic DNA was extracted using QIAmp DNA Blood Mini kit (Qiagen, Hilden, Germany) and bisulfite treated using EZ DNA methylation kit (Zymoresearch, USA).
2014-06-20 | E-GEOD-58651 | biostudies-arrayexpress
Project description:A microarray analysis involving whole blood samples isolated from critically ill patients in the medical intensive care unit at Brigham and Women's Hospital. Four groups of intubated subjects undergoing mechanical ventilation were recruited for the study: those with sepsis alone (Sepsis), those with sepsis + ARDS (se/ARDS), those with SIRS (SIRS), and those whithout sepsis, SIRS, or ARDS (untreated). Blood was obtained from patients on the day of admission (day 0) and 7 days later. RNA was isolated from the whole blood samples and microarrays were prepared to determine differential gene expression between the four groups.
2012-07-11 | GSE32707 | GEO